AIMC Journal:
European radiology

Showing 491 to 500 of 636 articles

Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow.

European radiology Aug 14, 2020
Humans Artificial Intelligence Radiology Workflow
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Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment.

European radiology Aug 7, 2020
OBJECTIVES: To simulate clinical deployment, evaluate performance, and establish quality assurance of a deep learning algorithm (U-Net) for detection, localization, and segmentation of clinically significant prostate cancer (sPC), ISUP grade group ≥ ...
Male Deep Learning Magnetic Resonance Imaging Humans Prostatic Neoplasms Image-Guided Biopsy Prospective Studies
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Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.

European radiology Jul 23, 2020
OBJECTIVES: To evaluate short-term test-retest repeatability of a deep learning architecture (U-Net) in slice- and lesion-level detection and segmentation of clinically significant prostate cancer (csPCa: Gleason grade group > 1) using diffusion-weig...
Deep Learning Humans Neural Networks, Computer Prostatic Neoplasms Reproducibility of Results Diffusion Magnetic Resonance Imaging Male
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Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets.

European radiology Jul 22, 2020
OBJECTIVES: This study aimed at developing a convolutional neural network (CNN) able to automatically quantify and characterize the level of degeneration of rotator cuff (RC) muscles from shoulder CT images including muscle atrophy and fatty infiltra...
Retrospective Studies Rotator Cuff Injuries Humans Tomography, X-Ray Computed Shoulder Deep Learning Muscular Atrophy Adipose Tissue Rotator Cuff
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Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

European radiology Jul 22, 2020
OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
Reproducibility of Results Aged Adult Sensitivity and Specificity Male Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Carcinoma, Hepatocellular Image Processing, Computer-Assisted Area Under Curve Middle Aged Humans Diagnosis, Computer-Assisted ROC Curve Liver Neoplasms
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Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.

European radiology Jul 21, 2020
OBJECTIVES: To develop and validate a deep learning model to discriminate transient from persistent subsolid nodules (SSNs) on baseline CT.
Deep Learning Image Processing, Computer-Assisted Humans Area Under Curve Adult Lung Neoplasms Tomography, X-Ray Computed Radiology Retrospective Studies Solitary Pulmonary Nodule Male Female Radiologists Middle Aged Reproducibility of Results Calibration Aged Lung
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Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates.

European radiology Jul 18, 2020
OBJECTIVES: We aimed to evaluate the ability of feed-forward neural networks (fNNs) to predict the neurodevelopmental outcome (NDO) of very preterm neonates (VPIs) at 12 months corrected age by using biomarkers of cerebral MR proton spectroscopy (H-M...
Humans Predictive Value of Tests Image Interpretation, Computer-Assisted Infant, Premature Developmental Disabilities Magnetic Resonance Spectroscopy Diffusion Tensor Imaging Neural Networks, Computer Infant, Premature, Diseases Female Prospective Studies Infant, Newborn Brain Sensitivity and Specificity Prognosis Male Infant
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From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.

European radiology Jul 18, 2020
OBJECTIVE: To develop a fully automated AI system to quantitatively assess the disease severity and disease progression of COVID-19 using thick-section chest CT images.
Pneumonia, Viral Disease Progression Lung Deep Learning China ROC Curve Pneumonia Coronavirus Infections Community-Acquired Infections Betacoronavirus Female SARS-CoV-2 Male Middle Aged Pandemics Humans COVID-19 Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed
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Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

European radiology Jul 16, 2020
OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus...
Retrospective Studies Reproducibility of Results Aged Aged, 80 and over Adult Humans Machine Learning Algorithms Cluster Analysis Principal Component Analysis Area Under Curve Prostatic Neoplasms Prostate Male Middle Aged Treatment Outcome Support Vector Machine Biopsy Prostatectomy Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging
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Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.

European radiology Jul 14, 2020
OBJECTIVES: To evaluate the calibration of a deep learning (DL) model in a diagnostic cohort and to improve model's calibration through recalibration procedures.
Calibration Aged Reference Standards Radiography, Thoracic Adult Humans Male Algorithms Predictive Value of Tests Middle Aged Retrospective Studies Lung Area Under Curve Female Bayes Theorem Diagnosis, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated Deep Learning ROC Curve Image Processing, Computer-Assisted
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